Triple

T14365677
Position Surface form Disambiguated ID Type / Status
Subject Ed Wynn E356225 entity
Predicate spouse P13 FINISHED
Object Dorothy Elizabeth Nesbitt
Dorothy Elizabeth Nesbitt was the wife of American actor and comedian Ed Wynn.
E1095073 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Dorothy Elizabeth Nesbitt | Statement: [Ed Wynn, spouse, Dorothy Elizabeth Nesbitt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dorothy Elizabeth Nesbitt
Context triple: [Ed Wynn, spouse, Dorothy Elizabeth Nesbitt]
  • A. Dorothy Ramsey
    Dorothy Ramsey is a fictional character best known as "Tootie" from the television series *The Facts of Life*.
  • B. Dorothy Buxton
    Dorothy Buxton was a British social reformer and humanitarian best known for co-founding the international child welfare organization Save the Children.
  • C. Dorothy Yorke
    Dorothy Yorke was the wife of Thomas Dudley, a prominent early colonial leader and multiple-term governor of the Massachusetts Bay Colony.
  • D. Ruth Noble
    Ruth Noble is known as the wife of American novelist Winston Groom, author of "Forrest Gump."
  • E. Dorothy Kenyon
    Dorothy Kenyon was a pioneering American lawyer, judge, and feminist activist known for her early and influential work advancing women's rights and civil liberties.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dorothy Elizabeth Nesbitt
Triple: [Ed Wynn, spouse, Dorothy Elizabeth Nesbitt]
Generated description
Dorothy Elizabeth Nesbitt was the wife of American actor and comedian Ed Wynn.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dorothy Elizabeth Nesbitt
Target entity description: Dorothy Elizabeth Nesbitt was the wife of American actor and comedian Ed Wynn.
  • A. Dorothy Ramsey
    Dorothy Ramsey is a fictional character best known as "Tootie" from the television series *The Facts of Life*.
  • B. Dorothy Buxton
    Dorothy Buxton was a British social reformer and humanitarian best known for co-founding the international child welfare organization Save the Children.
  • C. Dorothy Yorke
    Dorothy Yorke was the wife of Thomas Dudley, a prominent early colonial leader and multiple-term governor of the Massachusetts Bay Colony.
  • D. Ruth Noble
    Ruth Noble is known as the wife of American novelist Winston Groom, author of "Forrest Gump."
  • E. Dorothy Kenyon
    Dorothy Kenyon was a pioneering American lawyer, judge, and feminist activist known for her early and influential work advancing women's rights and civil liberties.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8fad48748190a0f34ca4d02f9a3c completed April 14, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c4fa3788190b7fa5c34620c3ada completed May 8, 2026, 2:37 a.m.
NEDg Description generation batch_69fd4e14f4dc8190860bd3bd4e306e28 completed May 8, 2026, 2:44 a.m.
NED2 Entity disambiguation (via description) batch_69fd4ea9fefc8190a5650f8ee270f37f completed May 8, 2026, 2:47 a.m.
Created at: April 10, 2026, 1:15 a.m.